
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase    :   List[Any]						=			logging.get_logger(__name__)

lowercase    :   str						=			{
    'facebook/data2vec-vision-base-ft': (
        'https://huggingface.co/facebook/data2vec-vision-base-ft/resolve/main/config.json'
    ),
}




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	_A								=	'data2vec-vision'







	def __init__(   self						:str	,  a						:str=7_6_8	,  a						:Tuple=1_2	,  a						:Optional[Any]=1_2	,  a						:List[Any]=3_0_7_2	,  a						:Optional[Any]="gelu"	,  a						:str=0.0	,  a						:Union[str, Any]=0.0	,  a						:List[str]=0.02	,  a						:str=1E-1_2	,  a						:str=2_2_4	,  a						:List[Any]=1_6	,  a						:Union[str, Any]=3	,  a						:Tuple=False	,  a						:Any=False	,  a						:List[Any]=False	,  a						:Dict=False	,  a						:Tuple=0.1	,  a						:Union[str, Any]=0.1	,  a						:Optional[int]=True	,  a						:Tuple=[3, 5, 7, 1_1]	,  a						:str=[1, 2, 3, 6]	,  a						:str=True	,  a						:int=0.4	,  a						:Optional[Any]=2_5_6	,  a						:Union[str, Any]=1	,  a						:Union[str, Any]=False	,  a						:Dict=2_5_5	,  **a						:Optional[Any]	,  )						->					List[str]:
								super().__init__(**a		)

								__UpperCamelCase      :  Union[str, Any]       =   hidden_size
								__UpperCamelCase      :  Dict       =   num_hidden_layers
								__UpperCamelCase      :  Any       =   num_attention_heads
								__UpperCamelCase      :  Optional[Any]       =   intermediate_size
								__UpperCamelCase      :  Union[str, Any]       =   hidden_act
								__UpperCamelCase      :  str       =   hidden_dropout_prob
								__UpperCamelCase      :  Optional[Any]       =   attention_probs_dropout_prob
								__UpperCamelCase      :  List[str]       =   initializer_range
								__UpperCamelCase      :  str       =   layer_norm_eps

								__UpperCamelCase      :  List[str]       =   image_size
								__UpperCamelCase      :  str       =   patch_size
								__UpperCamelCase      :  Optional[int]       =   num_channels
								__UpperCamelCase      :  List[str]       =   use_mask_token
								__UpperCamelCase      :  Optional[Any]       =   use_absolute_position_embeddings
								__UpperCamelCase      :  Tuple       =   use_relative_position_bias
								__UpperCamelCase      :  Optional[int]       =   use_shared_relative_position_bias
								__UpperCamelCase      :  Any       =   layer_scale_init_value
								__UpperCamelCase      :  List[str]       =   drop_path_rate
								__UpperCamelCase      :  Dict       =   use_mean_pooling
								# decode head attributes (semantic segmentation)
								__UpperCamelCase      :  str       =   out_indices
								__UpperCamelCase      :  Optional[Any]       =   pool_scales
								# auxiliary head attributes (semantic segmentation)
								__UpperCamelCase      :  Optional[int]       =   use_auxiliary_head
								__UpperCamelCase      :  Optional[Any]       =   auxiliary_loss_weight
								__UpperCamelCase      :  List[Any]       =   auxiliary_channels
								__UpperCamelCase      :  str       =   auxiliary_num_convs
								__UpperCamelCase      :  List[str]       =   auxiliary_concat_input
								__UpperCamelCase      :  Optional[Any]       =   semantic_loss_ignore_index




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	_A								=	version.parse('1.11')







	@property
	def   _lowerCamelCase							(   self						:Optional[Any]		)						->					Mapping[str, Mapping[int, str]]:
								return OrderedDict(
								    [
								        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
								    ]		)







	@property
	def   _lowerCamelCase							(   self						:str		)						->					float:
								return 1E-4

import math




def       _SCREAMING_SNAKE_CASE   (						_lowerCamelCase					:     int)   ->       str:






							'''simple docstring'''





							__UpperCamelCase      :  Union[str, Any]       =   0
							__UpperCamelCase      :  int       =   0
							while num > 0:
														__UpperCamelCase      :  List[Any]       =   num % 8
														__UpperCamelCase      :  Tuple       =   octal + (remainder * math.floor(math.pow(10		,    _lowerCamelCase)))
														counter += 1
														__UpperCamelCase      :  Optional[Any]       =   math.floor(num / 8)  # basically /= 8 without remainder if any
														# This formatting removes trailing '.0' from `octal`.
							return F'0o{int(_lowerCamelCase)}'




def       _SCREAMING_SNAKE_CASE   (						)   ->       None:






							'''simple docstring'''





							print("\n2 in octal is:")
							print(decimal_to_octal(2))  # = 2
							print("\n8 in octal is:")
							print(decimal_to_octal(8))  # = 10
							print("\n65 in octal is:")
							print(decimal_to_octal(65))  # = 101
							print("\n216 in octal is:")
							print(decimal_to_octal(216))  # = 330
							print("\n512 in octal is:")
							print(decimal_to_octal(512))  # = 1000
							print("\n")


if __name__ == "__main__":
		main()